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Semantic Web

About: Semantic Web is a research topic. Over the lifetime, 26987 publications have been published within this topic receiving 534275 citations. The topic is also known as: Sem Web & SemWeb.


Papers
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Book ChapterDOI
14 Aug 2000
TL;DR: The paper presents the mapping of RDF into CG and its interest in the context of the semantic Web and its approach is to exploit a standard language for expressing metadata and to interpret these metadata in conceptual graphs in order to exploit querying and inferencing capabilities enabled by CG formalism.
Abstract: With the aim of building a ”Semantic Web”, the content of the documents must be explicitly represented through metadata in order to enable contents-guided search. Our approach is to exploit a standard language (RDF, recommended by W3C) for expressing such metadata and to interpret these metadata in conceptual graphs (CG) in order to exploit querying and inferencing capabilities enabled by CG formalism. The paper presents our mapping of RDF into CG and its interest in the context of the semantic Web.

113 citations

Journal Article
TL;DR: In this paper, the authors present a comprehensive approach to ontology evaluation and validation, which have become a crucial problem for the development of semantic technologies, by means of a formal model.
Abstract: We present a comprehensive approach to ontology evaluation and validation, which have become a crucial problem for the development of semantic technologies. Existing evaluation methods are integrated into one sigle framework by means of a formal model. This model consists, firstly, of a meta-ontology called O 2 , that characterises ontologies as semiotic objects. Based on O 2 and an analysis of existing methodologies, we identify three main types of measures for evaluation: structural measures, that are typical of ontologies represented as graphs; functional measures, that are related to the intended use of an ontology and of its components; and usability-profiling measures, that depend on the level of annotation of the considered ontology. The meta-ontology is then complemented with an ontology of ontology validation called oQual, which provides the means to devise the best set of criteria for choosing an ontology over others in the context of a given project. Finally, we provide a small example of how to apply oQual-derived criteria to a validation case.

113 citations

Proceedings ArticleDOI
01 Mar 2014
TL;DR: This paper proposes a concept-based approach that maps each column of a web table to the best concept, in a well-developed knowledge base, that represents it and develops a hybrid machine-crowdsourcing framework that leverages human intelligence to discern the concepts for “difficult” columns.
Abstract: The Web is teeming with rich structured information in the form of HTML tables, which provides us with the opportunity to build a knowledge repository by integrating these tables An essential problem of web data integration is to discover semantic correspondences between web table columns, and schema matching is a popular means to determine the semantic correspondences However, conventional schema matching techniques are not always effective for web table matching due to the incompleteness in web tables In this paper, we propose a two-pronged approach for web table matching that effectively addresses the above difficulties First, we propose a concept-based approach that maps each column of a web table to the best concept, in a well-developed knowledge base, that represents it This approach overcomes the problem that sometimes values of two web table columns may be disjoint, even though the columns are related, due to incompleteness in the column values Second, we develop a hybrid machine-crowdsourcing framework that leverages human intelligence to discern the concepts for “difficult” columns Our overall framework assigns the most “beneficial” column-to-concept matching tasks to the crowd under a given budget and utilizes the crowdsourcing result to help our algorithm infer the best matches for the rest of the columns We validate the effectiveness of our framework through an extensive experimental study over two real-world web table data sets The results show that our two-pronged approach outperforms existing schema matching techniques at only a low cost for crowdsourcing

113 citations

01 Jan 2009
TL;DR: This document defines the RDF-compatible model-theoretic semantics of OWL 2, which is an ontology language for the Semantic Web with formally defined meaning.
Abstract: The OWL 2 Web Ontology Language, informally OWL 2, is an ontology language for the Semantic Web with formally defined meaning. OWL 2 ontologies provide classes, properties, individuals, and data values and are stored as Semantic Web documents. OWL 2 ontologies can be used along with information written in RDF, and OWL 2 ontologies themselves are primarily exchanged as RDF documents. The OWL 2 Document Overview describes the overall state of OWL 2, and should be read before other OWL 2 documents. This document defines the RDF-compatible model-theoretic semantics of OWL 2.

113 citations

Proceedings Article
01 Jul 2005
TL;DR: An innovative and formal model for an AI planning-oriented composition of Web service composition is presented and supports a semantic context in order to find a correct, complete, consistent and optimal plan as a solution.
Abstract: Automated composition of Web services or the process of forming new value added Web services is one of the most promising challenges in the semantic Web service research area. Semantics is one of the key elements for the automated composition of Web services because such a process requires rich machine-understandable descriptions of services that can be shared. Semantics enables Web service to describe their capabilities and processes, nevertheless there is still some work to be done. Indeed Web services described at functional level need a formal context to perform the automated composition of Web services. The suggested model (i.e., Causal link matrix) is a necessary starting point to apply problem-solving techniques such as regression-based search for Web service composition. The model supports a semantic context in order to find a correct, complete, consistent and optimal plan as a solution. In this paper an innovative and formal model for an AI planning-oriented composition is presented.

113 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
2023116
2022348
2021412
2020612
2019782
2018881